A semantic approach to polystores

E. Kharlamov; T. Mailis; K. Bereta; D. Bilidas; S. Brandt; E. Jimenez-Ruiz; S. Lamparter; C. Neuenstadt; O. Ozcep; A. Soylu; C. Svingos; G. Xiao; D. Zheleznyakov; D. Calvanese; I. Horrocks; M. Giese; Y. Ioannidis; Y. Kotidis; R. Moller; A. Waaler

doi:10.1109/BigData.2016.7840898

A semantic approach to polystores

E. Kharlamov, T. Mailis, K. Bereta, D. Bilidas, S. Brandt, E. Jimenez-Ruiz, S. Lamparter, C. Neuenstadt, O. Ozcep, A. Soylu, C. Svingos, G. Xiao, D. Zheleznyakov, D. Calvanese, I. Horrocks, M. Giese, Y. Ioannidis, Y. Kotidis, R. Moller, A. Waaler

Institut für Informationssysteme

Abstract

In the database community Polystores is an emerging and promising approach for data federation that aims at designing a unified querying layer over multiple data models. In the Semantic Web community a similar in spirit approach of Ontology-Based Data Access (OBDA) has been recently proposed, attracted a lot of attention, and proved its success in several industrial scenarios. In this paper we discuss a semantic approach to building polystores using the OBDA paradigm. We also present our system Optique that is utilized in an industrial application of performing turbine diagnostics in Siemens.

Originalsprache	Englisch
Titel	2016 IEEE International Conference on Big Data (Big Data)
Seitenumfang	9
Herausgeber (Verlag)	IEEE
Erscheinungsdatum	2016
Seiten	2565-2573
Aufsatznummer	7840898
ISBN (Print)	978-1-4673-9005-7
ISBN (elektronisch)	978-1-4673-9006-4
DOIs	https://doi.org/10.1109/BigData.2016.7840898
Publikationsstatus	Veröffentlicht - 2016
Veranstaltung	4th IEEE International Conference on Big Data - Washington, USA / Vereinigte Staaten Dauer: 05.12.2016 → 08.12.2016 Konferenznummer: 126355

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Kharlamov, E., Mailis, T., Bereta, K., Bilidas, D., Brandt, S., Jimenez-Ruiz, E., Lamparter, S., Neuenstadt, C., Ozcep, O., Soylu, A., Svingos, C., Xiao, G., Zheleznyakov, D., Calvanese, D., Horrocks, I., Giese, M., Ioannidis, Y., Kotidis, Y., Moller, R., & Waaler, A. (2016). A semantic approach to polystores. in 2016 IEEE International Conference on Big Data (Big Data) (S. 2565-2573). Artikel 7840898 (IEEE International Conference on Big Data Proceedings). IEEE. https://doi.org/10.1109/BigData.2016.7840898

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title = "A semantic approach to polystores",

abstract = "In the database community Polystores is an emerging and promising approach for data federation that aims at designing a unified querying layer over multiple data models. In the Semantic Web community a similar in spirit approach of Ontology-Based Data Access (OBDA) has been recently proposed, attracted a lot of attention, and proved its success in several industrial scenarios. In this paper we discuss a semantic approach to building polystores using the OBDA paradigm. We also present our system Optique that is utilized in an industrial application of performing turbine diagnostics in Siemens.",

author = "E. Kharlamov and T. Mailis and K. Bereta and D. Bilidas and S. Brandt and E. Jimenez-Ruiz and S. Lamparter and C. Neuenstadt and O. Ozcep and A. Soylu and C. Svingos and G. Xiao and D. Zheleznyakov and D. Calvanese and I. Horrocks and M. Giese and Y. Ioannidis and Y. Kotidis and R. Moller and A. Waaler",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 4th IEEE International Conference on Big Data, Big Data 2016 ; Conference date: 05-12-2016 Through 08-12-2016",

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doi = "10.1109/BigData.2016.7840898",

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Kharlamov, E, Mailis, T, Bereta, K, Bilidas, D, Brandt, S, Jimenez-Ruiz, E, Lamparter, S, Neuenstadt, C, Ozcep, O, Soylu, A, Svingos, C, Xiao, G, Zheleznyakov, D, Calvanese, D, Horrocks, I, Giese, M, Ioannidis, Y, Kotidis, Y, Moller, R & Waaler, A 2016, A semantic approach to polystores. in 2016 IEEE International Conference on Big Data (Big Data)., 7840898, IEEE International Conference on Big Data Proceedings, IEEE, S. 2565-2573, 4th IEEE International Conference on Big Data, Washington, Washington, USA / Vereinigte Staaten, 05.12.16. https://doi.org/10.1109/BigData.2016.7840898

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AU - Kharlamov, E.

AU - Mailis, T.

AU - Bereta, K.

AU - Bilidas, D.

AU - Brandt, S.

AU - Jimenez-Ruiz, E.

AU - Lamparter, S.

AU - Neuenstadt, C.

AU - Ozcep, O.

AU - Soylu, A.

AU - Svingos, C.

AU - Xiao, G.

AU - Zheleznyakov, D.

AU - Calvanese, D.

AU - Horrocks, I.

AU - Giese, M.

AU - Ioannidis, Y.

AU - Kotidis, Y.

AU - Moller, R.

AU - Waaler, A.

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PY - 2016

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N2 - In the database community Polystores is an emerging and promising approach for data federation that aims at designing a unified querying layer over multiple data models. In the Semantic Web community a similar in spirit approach of Ontology-Based Data Access (OBDA) has been recently proposed, attracted a lot of attention, and proved its success in several industrial scenarios. In this paper we discuss a semantic approach to building polystores using the OBDA paradigm. We also present our system Optique that is utilized in an industrial application of performing turbine diagnostics in Siemens.

AB - In the database community Polystores is an emerging and promising approach for data federation that aims at designing a unified querying layer over multiple data models. In the Semantic Web community a similar in spirit approach of Ontology-Based Data Access (OBDA) has been recently proposed, attracted a lot of attention, and proved its success in several industrial scenarios. In this paper we discuss a semantic approach to building polystores using the OBDA paradigm. We also present our system Optique that is utilized in an industrial application of performing turbine diagnostics in Siemens.

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DO - 10.1109/BigData.2016.7840898

M3 - Conference contribution

SN - 978-1-4673-9005-7

T3 - IEEE International Conference on Big Data Proceedings

SP - 2565

EP - 2573

BT - 2016 IEEE International Conference on Big Data (Big Data)

PB - IEEE

T2 - 4th IEEE International Conference on Big Data

Y2 - 5 December 2016 through 8 December 2016

ER -

A semantic approach to polystores

Abstract

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